Triple

T8917919
Position Surface form Disambiguated ID Type / Status
Subject mintInstall E212338 entity
Predicate uses P98 FINISHED
Object APT E192870 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: APT | Statement: [mintInstall, uses, APT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APT
Context triple: [mintInstall, uses, APT]
  • A. APT chosen
    APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
  • B. APT
    APT (Automatic Picture Transmission) is an analog satellite image broadcast format historically used by weather satellites to transmit low-resolution real-time imagery to ground receivers.
  • C. APT-P
    APT-P was the experimental tilting prototype of British Rail’s Advanced Passenger Train, built to test high-speed rail technology in the 1970s–80s.
  • D. APT-E
    APT-E was an experimental British tilting high-speed train prototype developed in the 1970s to test advanced technologies for the Advanced Passenger Train program.
  • E. APT-S
    APT-S was a proposed production variant of British Rail’s experimental tilting Advanced Passenger Train, intended for regular high-speed passenger service.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66120eb08190913ab6c42f26ffb8 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.